ArticleArchives of toxicology2024
AKR1C2 genetic variants mediate tobacco carcinogens metabolism involving bladder cancer susceptibility.
Article in Archives of toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Cross-ancestry meta-analysis identifies a GSTP1 variant in the polycyclic aromatic hydrocarbons metabolism-related pathway contributing to colorectal cancer susceptibility.Archives of toxicology · 2026Pooled it
- Cigarette Smoking-RegulatedEnvironment & health (Washington, D.C.) · 2026Article
- Cigarette smoking combines with genetic variants to regulate FOXN3 and associate with bladder cancer risk.Archives of toxicology · 2026Article
- The role of CDK8 gene polymorphisms in bladder cancer susceptibility and prognosis: a study in the Chinese Han population.BMC cancer · 2025Article
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
Tobacco carcinogens metabolism-related genes (TCMGs) could generate reactive metabolites of tobacco carcinogens, which subsequently contributed to multiple diseases. However, the association between genetic variants in TCMGs and bladder cancer susceptibility remains unclear. In this study, we derived TCMGs from metabolic pathways of polycyclic aromatic hydrocarbons and tobacco-specific nitrosamines, and then explored genetic associations between TCMGs and bladder cancer risk in two populations: a Chinese population of 580 cases and 1101 controls, and a European population of 5930 cases and 5468 controls, along with interaction and joint analyses. Expression patterns of TCMGs were sourced from Nanjing Bladder Cancer (NJBC) study and publicly available datasets. Among 43 TCMGs, we observed that rs7087341 T > A in AKR1C2 was associated with a reduced risk of bladder cancer in the Chinese population [odds ratio (OR) = 0.84, 95% confidence interval (CI) = 0.72-0.97, P = 1.86 × 10
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